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2020 – today

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2025
[j20]
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William Ruys, Hochan Lee, Bozhi You, Shreya Talati, Jaeyoung Park, James Almgren-Bell, Yineng Yan, Milinda Fernando, Mattan Erez, Milos Gligoric, Martin Burtscher, Christopher J. Rossbach, Keshav Pingali, George Biros:
Performance Characterization of Python Runtimes for Multi-device Task Parallel Programming. Int. J. Parallel Program. 53(2): 16 (2025)
[c100]
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Noushin Azami, Alex Fallin, Martin Burtscher:
Efficient Lossless Compression of Scientific Floating-Point Data on CPUs and GPUs. ASPLOS (1) 2025: 395-409
[c99]
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Anju Mongandampulath Akathoott, Benila Virgin Jerald Xavier, Martin Burtscher:
A Multi-GPU Algorithm for Computing Maximal Independent Sets in Large Graphs. ICS 2025: 1162-1175
[c98]
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Anju Mongandampulath Akathoott, Martin Burtscher:
A Bidirectional GPU Algorithm for Computing Maximum Matchings in Bipartite Graphs. IPDPS 2025: 297-308
[c97]
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Alex Fallin, Noushin Azami, Sheng Di, Franck Cappello, Martin Burtscher:
Fast and Effective Lossy Compression on GPUs and CPUs with Guaranteed Error Bounds. IPDPS 2025: 874-887
[c96]
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Noushin Azami, Martin Burtscher:
Identifying Important Data Transformations for Synthesizing Effective Lossless Compressors. ISPASS 2025: 286-296
[d2]
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Yineng Yan, William Ruys, Hochan Lee, Ian Henriksen, Arthur Michener Peters, Sean Stephens, Bozhi You, Henrique Fingler, Martin Burtscher, Milos Gligoric, Keshav Pingali, Mattan Erez, George Biros, Christopher J. Rossbach:
PyVLC. Zenodo, 2025
[d1]
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Yineng Yan, William Ruys, Hochan Lee, Ian Henriksen, Arthur Michener Peters, Sean Stephens, Bozhi You, Henrique Fingler, Martin Burtscher, Milos Gligoric, Keshav Pingali, Mattan Erez, George Biros, Christopher J. Rossbach:
VLC++: Virtual-Library-Context. Zenodo, 2025
[i7]
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  - journals/corr/abs-2503-20031
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Franck Cappello, Allison H. Baker, Ebru Bozda, Martin Burtscher, Kyle Chard, Sheng Di, Paul Christopher O. Grady, Peng Jiang, Shaomeng Li, Erik Lindahl, Peter Lindstrom, Magnus Lundborg, Kai Zhao, Xin Liang, Masaru Nagaso, Kento Sato, Amarjit Singh, Seung Woo Son, Dingwen Tao, Jiannan Tian, Robert Underwood, Kazutomo Yoshii, Danylo Lykov, Yuri Alexeev, Kyle Gerard Felker:
Lossy Compression of Scientific Data: Applications Constrains and Requirements. CoRR abs/2503.20031 (2025)
[i6]
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  - journals/corr/abs-2505-03372
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Marco Franzreb, Martin Burtscher, Stephan Rudolph:
GPU Implementation of the Wavelet Tree. CoRR abs/2505.03372 (2025)
2024
[j19]
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Yiqian Liu, Noushin Azami, Avery Vanausdal, Martin Burtscher:
Indigo3: A Parallel Graph Analytics Benchmark Suite for Exploring Implementation Styles and Common Bugs. ACM Trans. Parallel Comput. 11(3): 13:1-13:29 (2024)
[c95]
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Brandon Alexander Burtchell, Martin Burtscher:
Using Machine Learning to Predict Effective Compression Algorithms for Heterogeneous Datasets. DCC 2024: 183-192
[c94]
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Noushin Azami, Rain Lawson, Martin Burtscher:
LICO: An Effective, High-Speed, Lossless Compressor for Images. DCC 2024: 462-471
[c93]
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  - conf/iiswc/BurtchellB24
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Brandon Alexander Burtchell, Martin Burtscher:
Characterizing CUDA and OpenMP Synchronization Primitives. IISWC 2024: 295-308
[c92]
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Yiqian Liu, Avery Vanausdal, Martin Burtscher:
Performance Impact of Removing Data Races from GPU Graph Analytics Programs. IISWC 2024: 320-331
[c91]
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  - conf/ipps/RodriguezAB24
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Andrew Rodriguez, Noushin Azami, Martin Burtscher:
Adaptive Per-File Lossless Compression of Floating-Point Data. IPDPS (Workshops) 2024: 423-430
[c90]
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William Ruys, Hochan Lee, Bozhi You, Shreya Talati, Jaeyoung Park, James Almgren-Bell, Yineng Yan, Milinda Fernando, George Biros, Mattan Erez, Martin Burtscher, Christopher J. Rossbach, Keshav Pingali, Milos Gligoric:
A Deep Dive into Task-Based Parallelism in Python. IPDPS (Workshops) 2024: 1147-1149
[c89]
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  - conf/sc/JacobsonBG24
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John Jacobson, Martin Burtscher, Ganesh Gopalakrishnan:
HiRace: Accurate and Fast Data Race Checking for GPU Programs. SC 2024: 36
[i5]
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  - journals/corr/abs-2401-04701
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John Jacobson, Martin Burtscher, Ganesh Gopalakrishnan:
HiRace: Accurate and Fast Source-Level Race Checking of GPU Programs. CoRR abs/2401.04701 (2024)
[i4]
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  - journals/corr/abs-2407-15037
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Alex Fallin, Martin Burtscher:
Lessons Learned on the Path to Guaranteeing the Error Bound in Lossy Quantizers. CoRR abs/2407.15037 (2024)
[i3]
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  - journals/corr/abs-2411-00249
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Muhieddine Shebaro, Lucas Rusnak, Martin Burtscher, Jelena Tesic:
GraphC: Parameter-free Hierarchical Clustering of Signed Graph Networks v2. CoRR abs/2411.00249 (2024)
2023
[c88]
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  - conf/sc/AlabandiSBB23
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Ghadeer Alabandi, William Sands, George Biros, Martin Burtscher:
A GPU Algorithm for Detecting Strongly Connected Components. SC 2023: 17:1-17:13
[c87]
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  - conf/sc/FallinGSB23
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Alex Fallin, Andres Gonzalez, Jarim Seo, Martin Burtscher:
A High-Performance MST Implementation for GPUs. SC 2023: 77:1-77:13
[c86]
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Yiqian Liu, Noushin Azami, Avery Vanausdal, Martin Burtscher:
Choosing the Best Parallelization and Implementation Styles for Graph Analytics Codes: Lessons Learned from 1106 Programs. SC 2023: 92:1-92:14
2022
[j18]
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Ghadeer Alabandi, Martin Burtscher:
Improving the Speed and Quality of Parallel Graph Coloring. ACM Trans. Parallel Comput. 9(3): 10:1-10:35 (2022)
[c85]
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Alex Fallin, Aarti Kothari, Jiayuan He, Christopher Yanez, Keshav Pingali, Rajit Manohar, Martin Burtscher:
A Simple, Fast, and GPU-friendly Steiner-Tree Heuristic. IPDPS Workshops 2022: 838-847
[c84]
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Yiqian Liu, Noushin Azami, Corbin Walters, Martin Burtscher:
The Indigo Program-Verification Microbenchmark Suite of Irregular Parallel Code Patterns. ISPASS 2022: 24-34
[c83]
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  - conf/mchpc/FallinB22
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Alex Fallin, Martin Burtscher:
Reducing Memory-Bus Energy Consumption of GPUs via Software-Based Bit-Flip Minimization. MCHPC@SC 2022: 21-29
[c82]
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Hochan Lee, William Ruys, Ian Henriksen, Arthur Peters, Yineng Yan, Sean Stephens, Bozhi You, Henrique Fingler, Martin Burtscher, Milos Gligoric, Karl W. Schulz, Keshav Pingali, Christopher J. Rossbach, Mattan Erez, George Biros:
Parla: A Python Orchestration System for Heterogeneous Architectures. SC 2022: 51:1-51:15
[c81]
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  - conf/sc-iaaa/AzamiB22
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Noushin Azami, Martin Burtscher:
Compressed In-memory Graphs for Accelerating GPU-based Analytics. IA3@SC 2022: 32-40
2021
[j17]
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  - journals/sensors/DunnwaldKNB21
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Tobias Dünnwald, Roland Kienast, David Niederseer, Martin Burtscher:
The Use of Pulse Oximetry in the Assessment of Acclimatization to High Altitude. Sensors 21(4): 1263 (2021)
[c80]
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  - conf/ppopp/MalekiABP21
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Sepideh Maleki, Udit Agarwal, Martin Burtscher, Keshav Pingali:
BiPart: a parallel and deterministic hypergraph partitioner. PPoPP 2021: 161-174
[c79]
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  - conf/sc/AlabandiTRB21
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Ghadeer Alabandi, Jelena Tesic, Lucas Rusnak, Martin Burtscher:
Discovering and balancing fundamental cycles in large signed graphs. SC 2021: 68
2020
[c78]
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Ghadeer Alabandi, Evan Powers, Martin Burtscher:
Increasing the parallelism of graph coloring via shortcutting. PPoPP 2020: 262-275
[i2]
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  - journals/corr/abs-2012-13618
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Sepideh Maleki, Udit Agarwal, Martin Burtscher, Keshav Pingali:
BiPart: A Parallel and Deterministic Multilevel Hypergraph Partitioner. CoRR abs/2012.13618 (2020)

2010 – 2019

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2019
[c77]
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  - conf/cluster/TaheriBBG19
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Saeed Taheri, Ian Briggs, Martin Burtscher, Ganesh Gopalakrishnan:
DiffTrace: Efficient Whole-Program Trace Analysis and Diffing for Debugging. CLUSTER 2019: 1-12
[c76]
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  - conf/iccad/HeBMP19
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Jiayuan He, Martin Burtscher, Rajit Manohar, Keshav Pingali:
SPRoute: A Scalable Parallel Negotiation-based Global Router. ICCAD 2019: 1-8
[i1]
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  - journals/corr/abs-1910-07776
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Saeed Taheri, Apan Qasem, Martin Burtscher:
A Tool for Automatically Suggesting Source-Code Optimizations for Complex GPU Kernels. CoRR abs/1910.07776 (2019)
2018
[j16]
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Martin Burtscher, Sindhu Devale, Sahar Azimi, Jayadharini Jaiganesh, Evan Powers:
A High-Quality and Fast Maximal Independent Set Implementation for GPUs. ACM Trans. Parallel Comput. 5(2): 8:1-8:27 (2018)
[c75]
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Sepideh Maleki, Martin Burtscher:
Automatic Hierarchical Parallelization of Linear Recurrences. ASPLOS 2018: 128-138
[c74]
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  - conf/dcc/ClaggettAB18
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Steven Claggett, Sahar Azimi, Martin Burtscher:
SPDP: An Automatically Synthesized Lossless Compression Algorithm for Floating-Point Data. DCC 2018: 335-344
[c73]
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  - conf/hpdc/JaiganeshB18
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Jayadharini Jaiganesh, Martin Burtscher:
A high-performance connected components implementation for GPUs. HPDC 2018: 92-104
[c72]
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  - conf/sc/AyguadeABBGGJKP18
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Eduard Ayguadé, Lluc Alvarez, Fabio Banchelli, Martin Burtscher, Arturo González-Escribano, Julian Gutierrez, David A. Joiner, David R. Kaeli, Fritz Previlon, Eduardo Rodriguez-Gutiez, David P. Bunde:
Peachy Parallel Assignments (EduHPC 2018). EduHPC@SC 2018: 78-85
[c71]
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Saeed Taheri, Sindhu Devale, Ganesh Gopalakrishnan, Martin Burtscher:
ParLoT: Efficient Whole-Program Call Tracing for HPC Applications. ESPT/VPA@SC 2018: 162-184
2016
[j15]
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Igor Szczyrba, Rafal Szczyrba, Martin Burtscher:
Geometric Representations of the n-anacci Constants and Generalizations Thereof. J. Integer Seq. 19(3): 16.3.8 (2016)
[c70]
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Bahareh Goodarzi, Martin Burtscher, Dhrubajyoti Goswami:
Parallel Graph Partitioning on a CPU-GPU Architecture. IPDPS Workshops 2016: 58-66
[c69]
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  - conf/ipps/CoplinB16
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Jared Coplin, Martin Burtscher:
Energy, Power, and Performance Characterization of GPGPU Benchmark Programs. IPDPS Workshops 2016: 1190-1199
[c68]
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  - conf/pldi/MalekiYB16
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Sepideh Maleki, Annie Yang, Martin Burtscher:
Higher-order and tuple-based massively-parallel prefix sums. PLDI 2016: 539-552
[c67]
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Martin Burtscher, Hari Mukka, Annie Yang, Farbod Hesaaraki:
Real-time synthesis of compression algorithms for scientific data. SC 2016: 264-275
2015
[j14]
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Bo Li, Yijuan Lu, Chunyuan Li, Afzal Godil, Tobias Schreck, Masaki Aono, Martin Burtscher, Qiang Chen, Nihad Karim Chowdhury, Bin Fang, Hongbo Fu, Takahiko Furuya, Haisheng Li, Jianzhuang Liu, Henry Johan, Ryuichi Kosaka, Hitoshi Koyanagi, Ryutarou Ohbuchi, Atsushi Tatsuma, Yajuan Wan, Chaoli Zhang, Changqing Zou:
A comparison of 3D shape retrieval methods based on a large-scale benchmark supporting multimodal queries. Comput. Vis. Image Underst. 131: 1-27 (2015)
[j13]
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Igor Szczyrba, Rafal Szczyrba, Martin Burtscher:
Analytic Representations of the n-anacci Constants and Generalizations Thereof. J. Integer Seq. 18(4): 15.4.5 (2015)
[c66]
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Annie Yang, Hari Mukka, Farbod Hesaaraki, Martin Burtscher:
MPC: A Massively Parallel Compression Algorithm for Scientific Data. CLUSTER 2015: 381-389
[c65]
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  - conf/hpcc/RahmanBZQ15
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Saami Rahman, Martin Burtscher, Ziliang Zong, Apan Qasem:
Maximizing Hardware Prefetch Effectiveness with Machine Learning. HPCC/CSS/ICESS 2015: 383-389
[c64]
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Armen Dzhagaryan, Aleksandar Milenkovic, Martin Burtscher:
Quantifying Benefits of Lossless Compression Utilities on Modern Smartphones. ICCCN 2015: 1-9
[c63]
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Jared Coplin, Martin Burtscher:
Effects of source-code optimizations on GPU performance and energy consumption. GPGPU@PPoPP 2015: 48-58
[c62]
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Molly A. O'Neil, Martin Burtscher:
Rethinking the parallelization of random-restart hill climbing: a case study in optimizing a 2-opt TSP solver for GPU execution. GPGPU@PPoPP 2015: 99-108
[c61]
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Martin Burtscher, Wuxu Peng, Apan Qasem, Hongchi Shi, Dan E. Tamir, Heather Thiry:
A Module-based Approach to Adopting the 2013 ACM Curricular Recommendations on Parallel Computing. SIGCSE 2015: 36-41
2014
[j12]
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Vladimir Uzelac, Aleksandar Milenkovic, Milena Milenkovic, Martin Burtscher:
Using Branch Predictors and Variable Encoding for On-the-Fly Program Tracing. IEEE Trans. Computers 63(4): 1008-1020 (2014)
[c60]
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Bo Li, Yijuan Lu, C. Li, Afzal Godil, Tobias Schreck, Masaki Aono, Martin Burtscher, Hongbo Fu, Takahiko Furuya, Henry Johan, Jianzhuang Liu, Ryutarou Ohbuchi, Atsushi Tatsuma, Changqing Zou:
Extended Large Scale Sketch-Based 3D Shape Retrieval. 3DOR@Eurographics 2014: 121-130
[c59]
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Martin Burtscher, Ivan Zecena, Ziliang Zong:
Measuring GPU Power with the K20 Built-in Sensor. GPGPU@ASPLOS 2014: 28
[c58]
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Rong Ge, Xizhou Feng, Martin Burtscher, Ziliang Zong:
PEACH: a model for performance and energy aware cooperative hybrid computing. Conf. Computing Frontiers 2014: 24:1-24:2
[c57]
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Molly A. O'Neil, Martin Burtscher:
Microarchitectural performance characterization of irregular GPU kernels. IISWC 2014: 130-139
[c56]
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Rong Ge, Xizhou Feng, Martin Burtscher, Ziliang Zong:
Performance and Energy Modeling for Cooperative Hybrid Computing. NAS 2014: 232-241
[c55]
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Kamil Rocki, Martin Burtscher, Reiji Suda:
The future of accelerator programming: abstraction, performance or can we have both? SAC 2014: 886-895
2013
[c54]
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Rupesh Nasre, Martin Burtscher, Keshav Pingali:
Atomic-free irregular computations on GPUs. GPGPU@ASPLOS 2013: 96-107
[c53]
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Kamil Rocki, Martin Burtscher, Reiji Suda:
The Future of Accelerator Programming: Abstraction, Performance or Can We Have Both? ICPADS 2013: 442-443
[c52]
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Rong Ge, Ryan Vogt, Jahangir Majumder, Arif Alam, Martin Burtscher, Ziliang Zong:
Effects of Dynamic Voltage and Frequency Scaling on a K20 GPU. ICPP 2013: 826-833
[c51]
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Ivan Zecena, Martin Burtscher, Tongdan Jin, Ziliang Zong:
Evaluating the performance and energy efficiency of n-body codes on multi-core CPUs and GPUs. IPCCC 2013: 1-8
[c50]
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Rupesh Nasre, Martin Burtscher, Keshav Pingali:
Data-Driven Versus Topology-driven Irregular Computations on GPUs. IPDPS 2013: 463-474
[c49]
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Martin Burtscher, Hassan Rabeti:
A Scalable Heterogeneous Parallelization Framework for Iterative Local Searches. IPDPS 2013: 1289-1298
[c48]
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Armen Dzhagaryan, Aleksandar Milenkovic, Martin Burtscher:
Energy efficiency of lossless data compression on a mobile device: An experimental evaluation. ISPASS 2013: 126-127
[c47]
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Aleksandar Milenkovic, Armen Dzhagaryan, Martin Burtscher:
Performance and Energy Consumption of Lossless Compression/Decompression Utilities on Mobile Computing Platforms. MASCOTS 2013: 254-263
[c46]
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Rupesh Nasre, Martin Burtscher, Keshav Pingali:
Morph algorithms on GPUs. PPoPP 2013: 147-156
2012
[j11]
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Paruj Ratanaworabhan, Martin Burtscher, Darko Kirovski, Benjamin G. Zorn, Rahul Nagpal, Karthik Pattabiraman:
Efficient Runtime Detection and Toleration of Asymmetric Races. IEEE Trans. Computers 61(4): 548-562 (2012)
[c45]
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Paruj Ratanaworabhan, Martin Burtscher, Darko Kirovski, Benjamin G. Zorn:
Hardware support for enforcing isolation in lock-based parallel programs. ICS 2012: 301-310
[c44]
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Martin Burtscher, Rupesh Nasre, Keshav Pingali:
A quantitative study of irregular programs on GPUs. IISWC 2012: 141-151
[c43]
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Mario Méndez-Lojo, Martin Burtscher, Keshav Pingali:
A GPU implementation of inclusion-based points-to analysis. PPoPP 2012: 107-116
2011
[j10]
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Aleksandar Milenkovic, Vladimir Uzelac, Milena Milenkovic, Martin Burtscher:
Caches and Predictors for Real-Time, Unobtrusive, and Cost-Effective Program Tracing in Embedded Systems. IEEE Trans. Computers 60(7): 992-1005 (2011)
[c42]
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Molly A. O'Neil, Martin Burtscher:
Floating-point data compression at 75 Gb/s on a GPU. GPGPU 2011: 7
[c41]
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Jeffrey R. Diamond, Martin Burtscher, John D. McCalpin, Byoung-Do Kim, Stephen W. Keckler, James C. Browne:
Evaluation and optimization of multicore performance bottlenecks in supercomputing applications. ISPASS 2011: 32-43
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Keshav Pingali, Donald Nguyen, Milind Kulkarni, Martin Burtscher, Muhammad Amber Hassaan, Rashid Kaleem, Tsung-Hsien Lee, Andrew Lenharth, Roman Manevich, Mario Méndez-Lojo, Dimitrios Prountzos, Xin Sui:
The tao of parallelism in algorithms. PLDI 2011: 12-25
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Muhammad Amber Hassaan, Martin Burtscher, Keshav Pingali:
Ordered vs. unordered: a comparison of parallelism and work-efficiency in irregular algorithms. PPoPP 2011: 3-12
2010
[c38]
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Muhammad Amber Hassaan, Martin Burtscher, Keshav Pingali:
Ordered and unordered algorithms for parallel breadth first search. PACT 2010: 539-540
[c37]
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Vladimir Uzelac, Aleksandar Milenkovic, Martin Burtscher, Milena Milenkovic:
Real-time unobtrusive program execution trace compression using branch predictor events. CASES 2010: 97-106
[c36]
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Martin Burtscher, Paruj Ratanaworabhan:
gFPC: A Self-Tuning Compression Algorithm. DCC 2010: 396-405
[c35]
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Xin Sui, Donald Nguyen, Martin Burtscher, Keshav Pingali:
Parallel Graph Partitioning on Multicore Architectures. LCPC 2010: 246-260
[c34]
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Mario Méndez-Lojo, Donald Nguyen, Dimitrios Prountzos, Xin Sui, Muhammad Amber Hassaan, Milind Kulkarni, Martin Burtscher, Keshav Pingali:
Structure-driven optimizations for amorphous data-parallel programs. PPoPP 2010: 3-14
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Martin Burtscher, Byoung-Do Kim, Jeffrey R. Diamond, John D. McCalpin, Lars Koesterke, James C. Browne:
PerfExpert: An Easy-to-Use Performance Diagnosis Tool for HPC Applications. SC 2010: 1-11
[c32]
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Martin Burtscher, Gaurav Sinha:
JSZap: Compressing JavaScript Code. WebApps 2010

2000 – 2009

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2009
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Martin Burtscher, Paruj Ratanaworabhan:
FPC: A High-Speed Compressor for Double-Precision Floating-Point Data. IEEE Trans. Computers 58(1): 18-31 (2009)
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Martin Burtscher, Paruj Ratanaworabhan:
pFPC: A Parallel Compressor for Floating-Point Data. DCC 2009: 43-52
[c30]
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Vladimir Uzelac, Aleksandar Milenkovic, Milena Milenkovic, Martin Burtscher:
Real-time, unobtrusive, and efficient program execution tracing with stream caches and last stream predictors. ICCD 2009: 173-178
[c29]
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Milind Kulkarni, Martin Burtscher, Calin Cascaval, Keshav Pingali:
Lonestar: A suite of parallel irregular programs. ISPASS 2009: 65-76
[c28]
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Milind Kulkarni, Martin Burtscher, Rajasekhar Inkulu, Keshav Pingali, Calin Cascaval:
How much parallelism is there in irregular applications? PPoPP 2009: 3-14
[c27]
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Paruj Ratanaworabhan, Martin Burtscher, Darko Kirovski, Benjamin G. Zorn, Rahul Nagpal, Karthik Pattabiraman:
Detecting and tolerating asymmetric races. PPoPP 2009: 173-184
[c26]
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Martin Burtscher:
Real-Time Message Compression in Software. PVM/MPI 2009: 1
2008
[c25]
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Igor Szczyrba, Martin Burtscher, Rafal Szczyrba:
On the Role of a Nonlinear Stress-Strain Relation in Brain Trauma. BIOCOMP 2008: 265-271
[c24]
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Paruj Ratanaworabhan, Martin Burtscher:
Program Phase Detection based on Critical Basic Block Transitions. ISPASS 2008: 11-21
[c23]
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Martin Burtscher, Milind Kulkarni, Dimitrios Prountzos, Keshav Pingali:
On the Scalability of an Automatically Parallelized Irregular Application. LCPC 2008: 109-123
2007
[c22]
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Milena Milenkovic, Aleksandar Milenkovic, Martin Burtscher:
Algorithms and Hardware Structures for Unobtrusive Real-Time Compression of Instruction and Data Address Traces. DCC 2007: 283-292
[c21]
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Martin Burtscher, Paruj Ratanaworabhan:
High Throughput Compression of Double-Precision Floating-Point Data. DCC 2007: 293-302
[c20]
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Igor Szczyrba, Martin Burtscher, Rafal Szczyrba:
Computational Modeling of Brain Dynamics during Repetitive Head Motions. MSV 2007: 143-149
2006
[j8]
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Martin Burtscher:
TCgen 2.0: a tool to automatically generate lossless trace compressors. SIGARCH Comput. Archit. News 34(3): 1-8 (2006)
[j7]
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Ilya Ganusov, Martin Burtscher:
Future execution: A prefetching mechanism that uses multiple cores to speed up single threads. ACM Trans. Archit. Code Optim. 3(4): 424-449 (2006)
[c19]
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Ilya Ganusov, Martin Burtscher:
Efficient emulation of hardware prefetchers via event-driven helper threading. PACT 2006: 144-153
[c18]
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Paruj Ratanaworabhan, Jian Ke, Martin Burtscher:
Fast Lossless Compression of Scientific Floating-Point Data. DCC 2006: 133-142
[c17]
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Paruj Ratanaworabhan, Martin Burtscher:
Load Instruction Characterization and Acceleration of the BioPerf Programs. IISWC 2006: 71-79
[c16]
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Martin Burtscher, Igor Szczyrba:
Computational Simulation and Visualization of Traumatic Brain Injuries. MSV 2006: 101-107
2005
[j6]
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Christianto C. Liu, Ilya Ganusov, Martin Burtscher, Sandip Tiwari:
Bridging the Processor-Memory Performance Gapwith 3D IC Technology. IEEE Des. Test Comput. 22(6): 556-564 (2005)
[j5]
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Nana B. Sam, Martin Burtscher:
Improving memory system performance with energy-efficient value speculation. SIGARCH Comput. Archit. News 33(4): 121-127 (2005)
[j4]
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Martin Burtscher, Ilya Ganusov, Sandra J. Jackson, Jian Ke, Paruj Ratanaworabhan, Nana B. Sam:
The VPC Trace-Compression Algorithms. IEEE Trans. Computers 54(11): 1329-1344 (2005)
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Ilya Ganusov, Martin Burtscher:
On the importance of optimizing the configuration of stream prefetchers. Memory System Performance 2005: 54-61
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Ilya Ganusov, Martin Burtscher:
Future Execution: A Hardware Prefetching Technique for Chip Multiprocessors. IEEE PACT 2005: 350-360
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Nana B. Sam, Martin Burtscher:
On the energy-efficiency of speculative hardware. Conf. Computing Frontiers 2005: 361-370
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Martin Burtscher, Nana B. Sam:
Automatic Generation of High-Performance Trace Compressors. CGO 2005: 229-240
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Jian Ke, Martin Burtscher, William Evan Speight:
Tolerating Message Latency Through the Early Release of Blocked Receives. Euro-Par 2005: 19-29
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Martin Burtscher, Igor Szczyrba:
Numerical Modeling of Brain Dynamics in Traumatic Situations - Impulsive Translations. METMBS 2005: 205-211
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Jian Ke, Martin Burtscher, William Evan Speight:
Reducing Communication Time through Message Prefetching. PDPTA 2005: 557-563
2004
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Martin Burtscher, Ilya Ganusov:
Automatic Synthesis of High-Speed Processor Simulators. MICRO 2004: 55-66
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Jian Ke, Martin Burtscher, William Evan Speight:
Runtime Compression of MPI Messanes to Improve the Performance and Scalability of Parallel Applications. SC 2004: 59
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Martin Burtscher:
VPC3: a fast and effective trace-compression algorithm. SIGMETRICS 2004: 167-176
2003
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Martin Burtscher, Metha Jeeradit:
Compressing Extended Program Traces Using Value Predictors. IEEE PACT 2003: 159-168
2002
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Martin Burtscher:
An improved index function for (D)FCM predictors. SIGARCH Comput. Archit. News 30(3): 19-24 (2002)
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Martin Burtscher, Benjamin G. Zorn:
Hybrid Load-Value Predictors. IEEE Trans. Computers 51(7): 759-774 (2002)
[c4]
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William Evan Speight, Martin Burtscher:
Delphi: Predition-based Page Prefetching to Improve the Performance of Shared Virtual Memory Systems. PDPTA 2002: 49-55
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Martin Burtscher, Amer Diwan, Matthias Hauswirth:
Static Load Classification for Improving the Value Predictability of Data-Cache Misses. PLDI 2002: 222-233
2000
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Martin Burtscher, Benjamin G. Zorn:
Hybridizing and Coalescing Load Value Predictors. ICCD 2000: 81-92

1990 – 1999

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1999
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Martin Burtscher, Benjamin G. Zorn:
Prediction Outcome History-Based Confidence Estimation for Load Value Prediction. J. Instr. Level Parallelism 1 (1999)
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Martin Burtscher, Benjamin G. Zorn:
Exploring Last n Value Prediction. IEEE PACT 1999: 66-76

Coauthor Index

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